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MGeo: Multi-Modal Geographic Language Model Pre-Training

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A classification model has been developed using MGeo: Foundation Model: mgeo_backbone_chinese_base Number of Classes: 270,000 Trained Model Size: about 1.2 GB GPU Employed: A800 Inference Performance: the response time for...

I found one code mistake in prepare_data/calculate_geographic_context.py ![屏幕截图 2024-09-13 105300](https://github.com/user-attachments/assets/d162ce37-31bd-4979-a0ff-bab7c1040ec2) The highlighted part should be ly2, instead of ly1.

# Add Comprehensive Python Testing Infrastructure ## Summary This PR establishes a complete testing infrastructure for the geo-multimodal-retrieval project using Poetry as the package manager. The infrastructure provides a robust...

Hello! I am studying your paper "MGeo:" published in 2023. When conducting "Multi-Modal Geographic Language Model Pre-Training", there are some questions regarding the specific technical details of the geographic context...